What are the responsibilities and job description for the Machine Learning Engineer – LLM Engineering position at Liberate?
About Us
Liberate is reimagining how the $2.7T insurance industry works. By starting with voice, the most valuable and complex channel in insurance, the company proved that even the hardest problems can be automated. Now expanding into full workflow automation across sales, servicing, and claims, Liberate is building toward a bold vision: reasoning agents capable of managing the entire spectrum of carrier and broker operations. Trusted by leading brokers and carriers and powered by a team with experience at Metromile, Google, Stripe, and other category-defining companies, Liberate is shaping the future of insurance.
About The Role
We’re looking for a Machine Learning Engineer to help us push the boundaries of LLM-powered conversational AI and automation pipelines for insurance related tasks.
Location: Boston, MA or San Francisco, CA hybrid role, 2 days per week in-office
What You’ll Do
Liberate is reimagining how the $2.7T insurance industry works. By starting with voice, the most valuable and complex channel in insurance, the company proved that even the hardest problems can be automated. Now expanding into full workflow automation across sales, servicing, and claims, Liberate is building toward a bold vision: reasoning agents capable of managing the entire spectrum of carrier and broker operations. Trusted by leading brokers and carriers and powered by a team with experience at Metromile, Google, Stripe, and other category-defining companies, Liberate is shaping the future of insurance.
About The Role
We’re looking for a Machine Learning Engineer to help us push the boundaries of LLM-powered conversational AI and automation pipelines for insurance related tasks.
Location: Boston, MA or San Francisco, CA hybrid role, 2 days per week in-office
What You’ll Do
- Build LLM-driven pipelines for information extraction and workflow automation in insurance.
- Develop multi-turn, long-context agents that work seamlessly across modalities (voice, text, email).
- Fine-tune and deploy models to deliver accurate, compliant, and high-impact solutions.
- Work with cutting-edge speech, NLP, and multimodal AI technologies.
- Strong ML/NLP background with hands-on experience in LLMs.
- Experience in working with Python, SQL
- Experience of developing and deploying services and application using AWS
- Experience with conversational AI, speech-to-text, or text-to-speech systems.
- Post training methods for LLMs such as supervised fine tuning and preference optimization
- Nice to have:
- PyTorch/TensorFlow
- Working knowledge of AI frameworks (Hugging Face, LangChain, etc.).
Salary : $3